Salary
≈ $25k – $63k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
Sigmoid builds real time big data products on open source technologies like Apache Spark and Pig. It has raised VC funding and customers include Honeywell, PubNub, Guavus, Fusionops, Capillary Tech, etc.
Responsibilities:
- Design, implement, and manage highly available, scalable, and secure systems on Google Cloud Platform.
- Automate infrastructure provisioning using Infrastructure as Code tools such as Terraform and Deployment Manager.
- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Cloud Build.
- Implement monitoring, logging, and alerting solutions using Google Cloud Monitoring / Logging and tools like Prometheus, Grafana, ELK (any one).
- Manage Kubernetes clusters using Google Kubernetes Engine.
- Ensure system reliability through capacity planning, performance tuning, disaster recovery planning, and chaos engineering practices.
- Participate in on-call rotations and incident response processes.
- Drive root cause analysis (RCA) and conduct post-incident reviews.
- Collaborate with development teams to improve deployment processes and application reliability.
- Implement cloud security best practices across environments.
Requirements:
- Must have 5+ years of experience as an SRE, DevOps Engineer, or Cloud Engineer.
- Strong hands-on experience with GCP services, including: Google Compute Engine, Google Kubernetes Engine, Google Cloud Functions / Google Cloud Run, Google Cloud Storage, Google BigQuery, Google Cloud Pub/Sub, Google Cloud IAM & Networking.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Proficiency in Infrastructure as Code tools such as Terraform, Helm, Ansible, or similar.
- Strong scripting skills in at least one language (Python, Go, Bash, or Java).
- Experience building and managing CI/CD pipelines and automation frameworks.
- Solid understanding of networking concepts, Linux systems, and security best practices.
- Experience with monitoring and observability tools.
- Strong troubleshooting and problem-solving skills.
Preferred Qualifications:
- Experience working in multi-cloud environments (AWS/Azure + GCP).
- Knowledge of service mesh technologies such as Istio or Anthos.
- Experience with GCP databases such as Cloud SQL, Spanner, or Firestore.
- Familiarity with SLO / SLI / SLA frameworks.
- Experience supporting high-traffic production environments.
Mandatory Skills:
- Experience managing infrastructure on Google Cloud Platform (GCP).
- Strong hands-on expertise in Compute Engine, GKE, Cloud Functions / Cloud Run.
- Experience implementing CI/CD pipelines and Infrastructure as Code (Terraform).
- Kubernetes cluster management experience.
- Monitoring, logging, and alerting implementation.
- Incident management, RCA, and reliability engineering practices.
- Strong understanding of networking, Linux, and cloud security.
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